The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI ...

QVAC SDK and Fabric give people and companies the ability to execute inference and fine-tune powerful models on their own ...

There is a quiet assumption running through most enterprise GenAI deployments: if the output looks right, it is right. In low-stakes environments, that is a reasonable shortcut. In regulated ...

Predicting the outcome of mental health therapy is a vital goal. Statistical models have been used. Now, we turn to using AI ...

In 2026, AI adoption is shifting toward multi-model local large language model (LLM) setups, enabling users to match models ...

In the early days of generative AI, building safe and reliable business tools took massive engineering effort and a high ...

Infosecurity Europe’s 2026 research found 64% of UK cyber leaders expect agentic AI to have the biggest effect on cyber ...

Discover the 9 most dangerous identity-based threats in 2026, from AI phishing attacks and deepfake authentication bypass to MFA fatigue and harvest-now-decrypt-later quantum threats. Learn why legacy ...

SAS is expanding Viya with Viya Copilot, an MCP Server, and the Agentic AI Accelerator for managed, production-ready agentic ...

The idea is that you restrict the training data provided to the model to material published before a given date. In the case ...

However, a new study warns that the same capabilities driving their adoption are also creating a broad and evolving landscape of security, privacy, and ethical risks that existing safeguards are ...